Determining community happiness index with transformers and attention-based deep learning
Hilman Singgih Wicaksana,
Retno Kusumaningrum,
Rahmat Gernowo
Abstract:In the current digital era, evaluating the quality of people's lives and their happiness index is closely related to their expressions and opinions on Twitter social media. Measuring population welfare goes beyond monetary aspects, focusing more on subjective well-being, and sentiment analysis helps evaluate people's perceptions of happiness aspects. Aspect-based sentiment analysis (ABSA) effectively identifies sentiments on predetermined aspects. The previous study has used Word-to-Vector (Word2Vec) and long … Show more
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